Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence that will redefine computational boundaries. As a Quantum AI Researcher, you'll develop breakthrough algorithms for quantum machine learning systems, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimental quantum computing and neural network integration.
We provide competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets. Shape the future of human-machine intelligence while working alongside the brightest minds in quantum physics and artificial intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead experimental quantum computing projects using 256+ qubit processors
- Develop hybrid neural networks that leverage quantum superposition principles
- Collaborate with hardware teams to optimize quantum-AI interface protocols
- Publish peer-reviewed research in top-tier journals and conferences
- Secure $2M+ in annual research grants through innovative proposal development
- Mentor junior researchers in quantum algorithm optimization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in quantum machine learning or related fields
- Expertise in tensor network simulations for quantum systems
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Experience with high-performance computing clusters
- Ability to translate complex quantum concepts into practical AI applications